SG11202100136SA - Method for synthesizing image based on conditional generative adversarial network and related device - Google Patents
Method for synthesizing image based on conditional generative adversarial network and related deviceInfo
- Publication number
- SG11202100136SA SG11202100136SA SG11202100136SA SG11202100136SA SG11202100136SA SG 11202100136S A SG11202100136S A SG 11202100136SA SG 11202100136S A SG11202100136S A SG 11202100136SA SG 11202100136S A SG11202100136S A SG 11202100136SA SG 11202100136S A SG11202100136S A SG 11202100136SA
- Authority
- SG
- Singapore
- Prior art keywords
- image based
- related device
- generative adversarial
- adversarial network
- synthesizing image
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/695—Preprocessing, e.g. image segmentation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2132—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on discrimination criteria, e.g. discriminant analysis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2137—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
- G06F18/2193—Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
- G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Probability & Statistics with Applications (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Quality & Reliability (AREA)
- Image Analysis (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
- Image Processing (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910741020.7A CN110648309B (zh) | 2019-08-12 | 2019-08-12 | 基于条件生成对抗网络合成红细胞图像的方法及相关设备 |
| PCT/CN2019/117988 WO2021027152A1 (zh) | 2019-08-12 | 2019-11-13 | 基于条件生成对抗网络合成图像的方法及相关设备 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG11202100136SA true SG11202100136SA (en) | 2021-03-30 |
Family
ID=69009447
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG11202100136SA SG11202100136SA (en) | 2019-08-12 | 2019-11-13 | Method for synthesizing image based on conditional generative adversarial network and related device |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11636695B2 (https=) |
| JP (1) | JP7329041B2 (https=) |
| CN (1) | CN110648309B (https=) |
| SG (1) | SG11202100136SA (https=) |
| WO (1) | WO2021027152A1 (https=) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111833238B (zh) * | 2020-06-01 | 2023-07-25 | 北京百度网讯科技有限公司 | 图像的翻译方法和装置、图像翻译模型的训练方法和装置 |
| CN112102323B (zh) * | 2020-09-17 | 2023-07-07 | 陕西师范大学 | 基于生成对抗网络和Caps-Unet网络的粘连细胞核分割方法 |
| CN112435259B (zh) * | 2021-01-27 | 2021-04-02 | 核工业四一六医院 | 一种基于单样本学习的细胞分布模型构建及细胞计数方法 |
| CN115424604B (zh) * | 2022-07-20 | 2024-03-15 | 南京硅基智能科技有限公司 | 一种基于对抗生成网络的语音合成模型的训练方法 |
| US20250166173A1 (en) * | 2023-11-21 | 2025-05-22 | L&T Technology Services Limited | Method and system of analysing blood smear image using deep learning model |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10176363B2 (en) | 2014-06-16 | 2019-01-08 | Siemens Healthcare Diagnostics Inc. | Analyzing digital holographic microscopy data for hematology applications |
| JP2019527073A (ja) * | 2016-07-29 | 2019-09-26 | ノバダック テクノロジーズ ユーエルシー | 機械学習を用いた、対象の組織を特徴付けるための方法およびシステム |
| CN107492084B (zh) * | 2017-07-06 | 2021-06-25 | 哈尔滨理工大学 | 基于随机性的典型成团细胞核图像合成方法 |
| CN107564018A (zh) * | 2017-08-30 | 2018-01-09 | 北京航空航天大学 | 一种利用改进迭代算法提取目标图像的方法 |
| EP3685355B1 (en) | 2017-09-19 | 2024-07-10 | Siemens Healthcare Diagnostics Inc. | Virtual staining of cells in digital holographic microscopy images using general adversarial networks |
| US11621058B2 (en) | 2018-02-08 | 2023-04-04 | Ohio State Innovation Foundation | Synthetic IHC-stained digital sides generated using artificial neural networks |
| CN108388925A (zh) | 2018-03-06 | 2018-08-10 | 天津工业大学 | 基于新型条件对抗生成网络的抗模式崩溃鲁棒图像生成方法 |
| CN109493330A (zh) | 2018-11-06 | 2019-03-19 | 电子科技大学 | 一种基于多任务学习的细胞核实例分割方法 |
| CN109726644A (zh) * | 2018-12-14 | 2019-05-07 | 重庆邮电大学 | 一种基于生成对抗网络的细胞核分割方法 |
-
2019
- 2019-08-12 CN CN201910741020.7A patent/CN110648309B/zh active Active
- 2019-11-13 US US17/264,312 patent/US11636695B2/en active Active
- 2019-11-13 JP JP2021506747A patent/JP7329041B2/ja active Active
- 2019-11-13 SG SG11202100136SA patent/SG11202100136SA/en unknown
- 2019-11-13 WO PCT/CN2019/117988 patent/WO2021027152A1/zh not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| US20210312243A1 (en) | 2021-10-07 |
| JP7329041B2 (ja) | 2023-08-17 |
| JP2022500728A (ja) | 2022-01-04 |
| CN110648309B (zh) | 2024-05-28 |
| WO2021027152A1 (zh) | 2021-02-18 |
| CN110648309A (zh) | 2020-01-03 |
| US11636695B2 (en) | 2023-04-25 |
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